Architect, Enterprise AI

Job not on LinkedIn

🔥 9 minutes ago

🐻 Alaska, Hawaii, +11 more states – Remote

🐻 Alaska – Remote 🌺 Hawaii – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌾 North Dakota – Remote 🎸 Mississippi – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🦬 Wyoming – Remote

💵 $124.1k - $170k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Navitus Health Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🛡️ Insurance

🏥 Healthcare

Consulting • Insurance • Healthcare

Navitus Health Solutions is a pharmacy benefit manager (PBM) that provides transparent, people-centered pharmacy benefit solutions to health plans, employers, government programs and other plan sponsors. The company operates a 100% pass-through, cost-plus model that emphasizes lowering medication costs, managing formularies, specialty drug management (including a cost-plus specialty pharmacy), claims adjudication, pharmacy network management, and member enablement and support services. Navitus positions itself as a fiduciary partner focused on affordability, compliance, clinical quality and improving health outcomes through tailored PBM services and digital health integrations.

📋 Description

• Define and maintain the enterprise AI architecture strategy, standards, and reference architectures for scalable adoption of AI, generative AI, and agentic AI. • Establish enterprise AI architecture patterns for generative AI, agentic workflows, RAG, model orchestration, and enterprise AI service integration. • Develop and implement AI governance frameworks and architectural guardrails for responsible, secure, and compliant AI use. • Evaluate and recommend AI platforms, large language model providers, orchestration frameworks, and supporting tooling. • Define AI integration patterns connecting AI capabilities with enterprise platforms, APIs, data platforms, and cloud services. • Define and promote Agentic AI patterns for workflow orchestration, tool integration, memory/context management, and human-in-the-loop capabilities. • Ensure Responsible AI and regulatory compliance, including data privacy, auditability, model transparency, and ethical AI practices. • Define AI operations standards covering model lifecycle management, monitoring, observability, deployment pipelines, and operational controls. • Establish AI security and cost-management practices for secure model access, data protection, usage controls, and infrastructure optimization. • Collaborate with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to guide AI adoption and solution architecture decisions. • Perform other duties as assigned.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience, required. • 10+ years of experience in software development or architecture, including a minimum of 5 years focused on Artificial Intelligence and Machine Learning technologies, required. • Experience defining enterprise AI architecture patterns, model integration, orchestration frameworks, and AI-enabled application design within cloud or distributed systems. • Experience establishing or supporting AI governance frameworks, responsible AI practices, regulatory compliance, model lifecycle oversight, and enterprise guardrails. • Experience defining AI platform strategies, including evaluation and selection of enterprise AI platforms, large language models, and supporting tooling. • Experience designing AI integration patterns connecting AI capabilities with enterprise platforms, APIs, data platforms, and cloud services. • Experience implementing or guiding MLOps/LLMOps practices, including model deployment, monitoring, lifecycle management, and operational governance. • Experience addressing AI security, privacy, and cost management, including secure model access and sensitive-data protection. • Experience collaborating with enterprise architecture, engineering, data, and product teams. • Experience interviewing end-users regarding functionality, interfaces, problems, and usability issues. • Advanced development skills in multiple modern languages, including C#, React, and Python. • Participate in, adhere to, and support compliance program objectives. • Ability to interact cooperatively and respectfully with other employees. • AWS Certified Solutions Architect Professional certification preferred. • AWS Certified Machine Learning – Specialty certification preferred. • Responsible AI / AI Governance certification preferred. • Industry-recognized Certified AI Professional or equivalent AI/ML certification preferred. • Knowledge of PBM systems, claims adjudication processes, and payer/provider/pharmacy data exchange patterns preferred.

🏖️ Benefits

• STAR Bonus % (At Risk Maximum) 5.00 • Health insurance • Dental insurance • Vision insurance • 20 days paid time off • 4 weeks paid parental leave • 9 paid holidays • 401K company match of up to 5% - No vesting requirement • Adoption Assistance Program • Flexible Spending Account • Educational Assistance Plan • Professional Membership assistance • Referral Bonus Program – up to $750!